CN109871495A - A kind of system and method applied to rapid data collection in internet detection - Google Patents
A kind of system and method applied to rapid data collection in internet detection Download PDFInfo
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- CN109871495A CN109871495A CN201910043517.1A CN201910043517A CN109871495A CN 109871495 A CN109871495 A CN 109871495A CN 201910043517 A CN201910043517 A CN 201910043517A CN 109871495 A CN109871495 A CN 109871495A
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Abstract
The present invention relates to a kind of systems for rapid data collection in internet detection, including configuring data management system server end on the remote server, acquire data for handling, and be condition setting parameter needed for acquisition data；The data management system server end includes acquisition control and template management module, which includes test paper template management module test paper template management module for saving and managing the position of the positioning unit on test paper, correction unit and detection block；And the location information of positioning unit therein, correction unit and detection block can be read according to the test paper information that user terminal module uploads, to judge the concentration of the type of the test paper, required reagent；Further include data acquisition camera parameter template management module and data acquisition characteristics extraction algorithm management module, further includes data collection client module.The system rapidly can carry out mass data acquisition to actual scene and non-actual scene.
Description
Technical field
The present invention relates to internet detection field, a kind of rapid data collection in internet detection field is more particularly related to
System and method.
Background technique
With the fast development of artificial intelligence field machine learning techniques, internet detection field has also won fast development,
Conventional internet detection depends on C/S framework more, it is necessary to which (pc, mobile phone, other mobile devices) upper mounting portion is affixed one's name on the client
Program could use, and this method advantageously accounts for the camera status and luminous environment when control user's shot detection, but program
Dispose it is time-consuming and laborious, for distinct device must management development different editions, use and inconvenient, the interconnection based on b/s framework
Net detection technique only needs user take pictures then using browser or api interface uploading pictures using client, so that it may
To as a result, using very convenient, but the camera status and luminous environment taken pictures when detecting due to being unable to control user, therefore it is necessary to
Mass data is targetedly acquired in research and development to model it using machine learning method, to improve the accuracy rate of detection,
And rigorous quality control is carried out, however the system for having no standardized acquisition mass data in traditional technology and carrying out quality management
And method.
If relying on experimenter acquires data, the acquisition condition in all real lifes possibly can not be obtained completely, this
Sample can cause defect to last data acquisition.
Summary of the invention
To solve the above-mentioned problems, the present invention provides a kind of system and sides for acquiring mass data and carrying out quality management
Method is particularly suitable for internet remote diagnosis.
Specifically, the present invention provides a kind of system for rapid data collection in internet detection, including data
Tomcat-AdminPortal end, the data management system server end configuration are on the remote server, a large amount of for remotely handling
Acquisition data, and be acquisition data needed for condition setting parameter；
The data management system server end includes acquisition module management and control module, the acquisition module management and control
Molding block includes test paper template management module, data acquisition camera parameter template management module, data acquisition characteristics extraction algorithm
Management module；
The module includes test paper template management module, and test paper formwork module mainly saves and manage the positioning list on test paper
The position of member, correction unit and detection block；And the test paper information that can be uploaded according to user terminal module reads positioning therein
The location information of unit, correction unit and detection block, to judge the concentration of the type of the test paper, required reagent；
The data acquire camera parameter template management module, for saving and managing needed for the acquisition data of disparity items
Setting parameter；
The data acquisition characteristics extraction algorithm management module, targetedly acquires number for saving and managing disparity items
The feature extraction method of the picture or video that are obtained after；
The data management system server end further includes data collection client module, for according to the acquisition control
And the camera setting parameter of template management module setting carries out data acquisition to scene.
It further, further include user terminal module, the data collection client module configuration is in the user terminal
In module, the user terminal module configuration is on the mobile terminal with camera.
Further, camera setting parameter include camera acquisition parameter and with camera gesture stability, acquisition rate
And quantity control, acquisition module control.
Further, the data collection client module further includes characteristic extracting module, for being adopted according to the data
Collect extracting method provided by feature extraction algorithm management module and feature extraction is carried out to calculate pair to collected data
The value answered.
Further, the data collection client module further includes time management and control module, for controlling and managing
Acquisition time is managed, and data are corrected, guarantees the accuracy and stability of data, further includes data transmission module, be used for
The characteristic value data is transferred data into data management system server end.
Further, the data management system server end further includes data memory module: for saving data, data
Including base-line data and experimental data.
A method of using the system for rapid data collection in internet detection, comprising the following steps:
Initialization data collection management system server terminal and data acquire client modules first；
By data collection client module described in the information input of the practical test paper to be acquired, the data acquire client
The information of the test paper is transferred to data management system server end, data management system server end root by end module
The type of the test paper and required types of agents reacted with it, dense is determined according to the information that test paper Template Manager mould saves
Degree；
User selectes respective type according to the test paper type, Concentration Reagent reacts, and same concentration uses multiple examinations
Paper is reacted, and using the relevant picture of the data collection client module photograph and obtain related data be sent to it is described
Data management system server end.
Further, it using the relevant picture of the data collection client module photograph and obtains related data and is sent to
The data management system server end uses and repeats the steps of realization:
S1, data collection client module is opened, acquires camera parameter according to the data of data management system server end
The setting data that template management module provides carry out base-line data acquisition, the outside when setting data include fixed acquisition
Illumination, mobile phone camera exposure compensating, white balance state, the characteristic value of test paper glazing correction unit, mobile phone posture, every test paper are adopted
Collect 5-10 data, characteristic extracting module extracting method according to provided by the data acquisition characteristics extraction algorithm management module
Feature extraction is carried out to collected data and is stored in the data storage mould to calculate corresponding value as base-line data
In block；
S2, the data that camera parameter template management module provides are acquired according to the data, carries out conventional application scenarios number
According to acquisition；
Characteristic extracting module extracting method according to provided by the data acquisition characteristics extraction algorithm management module is to adopting
The data progress feature extraction collected is stored in the data as conventional application scenarios data using the value corresponding to calculating and deposits
It stores up in module；
S3, it is answered again according to the unconventional scene of data progress that data acquisition camera parameter template management module provides
It is acquired with data, fixed various control condition factors, make it be unsatisfactory for conventional scenario application conditions, which arbitrarily matches when acquisition
The quantity of acquisition data is set, characteristic extracting module is extracted according to provided by the data acquisition characteristics extraction algorithm management module
Method carries out feature extraction to calculate corresponding value as unconventional application data store described to collected data
In data memory module；
S4, S1-S3 is repeated, and guarantees that data acquire within the stationary phase that test paper reacts and finishes.
Further, the data management system server end carries out data system to the data stored in data memory module
Meter, the distributional pattern of all acquisition data sets of rough estimate, guarantees the integrality and density of data set, and estimate in different condition
It is lower detection institute attainable best precision, if the data of certain condition or certain state exist missing, repeatedly S1-S4,
Acquire corresponding data
In this way, reducing data to the full extent the present invention provides a kind of system and method for quantity of parameters acquisition
Error obtains the data under reliable, extensive, various representative of conditions to the full extent, to provide for final diagnosis
Advantageous, accurate data basis.
Specific embodiment
The present invention will by way of examples be described in detail the system and method, but be described and not anticipate
Taste limitation is made to the system and invention.
The system for rapid data collection in internet detection of the invention include data management system server end and
User terminal module, the user terminal module can be only fitted to can be with uploaded videos, figure for example including digital camera, mobile phone etc.
In the equipment of piece, for acquiring reality scene data.
The data management system server end configuration handles a large amount of acquisition number on the remote server, for long-range
According to, and be condition setting parameter needed for acquisition data.
The data management system server end includes acquisition module management and control module, the acquisition module management and control
Molding block includes test paper template management module, data acquisition camera parameter template management module, data acquisition characteristics extraction algorithm
Management module.
Position of the test paper formwork module for saving and managing the positioning unit on test paper, correct unit and detection block, and
Believe the position that positioning unit therein, correction unit and detection block can be read according to the test paper information that user terminal module uploads
Breath, to judge the concentration of the type of the test paper, required reagent.
Data acquisition camera parameter template management module is for phase needed for saving and managing the acquisition data of disparity items
Parameter is arranged in machine.
Data acquisition characteristics extraction algorithm management module is for saving and managing after disparity items targetedly acquires data
The feature extraction method of obtained picture or video.
The data management system server end further includes data collection client module, data collection client module packet
Include data acquisition module, characteristic extracting module, time management and control module and data transmission module.
Wherein data acquisition module is used to that ginseng to be arranged according to the camera that the acquisition control and template management module are set
Several pairs of scenes carry out data acquisition.Camera setting parameter include camera acquisition parameter and with camera gesture stability, acquisition
The relevant parameter such as rate and quantity control, acquisition module control.
The characteristic extracting module is used for the feature according to provided by the data acquisition characteristics extraction algorithm management module
Extracting method carries out feature extraction to collected data to calculate corresponding value, the feature can be picture RGB,
HARR, HOG, SIFT, LBP are equivalent.
Time management and control module are corrected for controlling and managing acquisition time, and to data, guarantee data
Accuracy and stability.Data transmission module, for the characteristic value data to be transferred data to data management system server
End.
The data collection client module can also configure in user terminal module, when configuration is in user terminal module
When, the data collection client module is automatically according to the acquisition control and the camera parameter pair of template management module setting
The camera parameter of mobile terminal is controlled, to realize the one-touch acquisition data of user.
The data management system server end further includes data memory module: for saving data, data include baseline
Data and experimental data.The generally fixed acquisition equipment of base-line data, fixed-illumination condition, institute in test paper stable reaction window phase
The data of acquisition, base-line data reacted as reagent with test paper after standard value with for later use.Experimental data is generally
Explore existing relationship between certain specified conditions and standard value and the obtained data of the test that carries out.
Collecting method of the invention, comprising the following steps:
Initialization data collection management system server terminal and data acquire client modules first.
By data collection client module described in the information input of the practical test paper to be acquired, the data acquire client
The information of the test paper is transferred to data management system server end, data management system server end root by end module
The type of the test paper and required types of agents reacted with it, dense is determined according to the information that test paper Template Manager mould saves
Degree.
User selectes respective type according to the test paper type, Concentration Reagent reacts, and same concentration uses multiple examinations
Paper is reacted.And it repeats the steps of:
S1, data collection client module is opened, acquires camera parameter according to the data of data management system server end
The setting data that template management module provides carry out base-line data acquisition.Outside when the setting data include fixed acquisition
Illumination, mobile phone camera exposure compensating, white balance state, the characteristic value of test paper glazing correction unit, mobile phone posture etc..Every test paper
Acquire 5-10 data, characteristic extracting module extraction side according to provided by the data acquisition characteristics extraction algorithm management module
Method carries out feature extraction to collected data and is stored in the data storage to calculate corresponding value as base-line data
In module.
S2, the data that camera parameter template management module provides are acquired according to the data, carries out conventional application scenarios number
According to acquisition.Without fixed various control condition factors when acquisition, it is only necessary to which each factor meets the definition of conventional scenario application, the rank
Section can arbitrary disposition acquisition data quantity.Control condition factor includes that shooting angle, illumination colour temperature, brightness, camera are white flat
Weighing apparatus mode, camera exposure compensation model etc..I.e. in this case, the data collection client module can arbitrarily shoot and
Uploading pictures carry out any control without the camera to mobile terminal.
Characteristic extracting module extracting method according to provided by the data acquisition characteristics extraction algorithm management module is to adopting
The data progress feature extraction collected is stored in the data as conventional application scenarios data using the value corresponding to calculating and deposits
It stores up in module.
S3, it is answered again according to the unconventional scene of data progress that data acquisition camera parameter template management module provides
It is acquired with data, fixed various control condition factors, make it be unsatisfactory for conventional scenario application conditions, which can be any when acquisition
The quantity of configuration acquisition data, characteristic extracting module are mentioned according to provided by the data acquisition characteristics extraction algorithm management module
Method is taken to carry out feature extraction to calculate corresponding value as unconventional application data store in institute to collected data
It states in data memory module.
Control condition factor includes shooting angle, illumination colour temperature, brightness, camera white balance mode, camera exposure compensation
Mode etc. simultaneously uploads the value of every kind of control condition factor and corresponding image data simultaneously.
In this case, the data collection client module acquires camera parameter Template Manager mould according to the data
The data that block provides carry out parameter configuration to the camera of mobile terminal, keep some of them control condition factor fixed to away from normal
Advise scene.
S4, S1-S3 is repeated, and guarantees that data acquire within the stationary phase that test paper reacts and finishes.
Then, the data management system server end carries out data statistics to the data stored in data memory module,
The distributional pattern of all acquisition data sets of rough estimate, guarantees the integrality and density of data set, and estimate at different conditions
Detection attainable best precision.If the data of certain condition or certain state have missing, S1-S4 is repeated, is adopted
Collect corresponding data.
Obtain data model using above three data, including base-line data model, it is conventional using data model, it is unconventional
Using data model.
Base-line data model can mainly apply mobile terminal using the prediction of test paper reaction result under controllable condition, under APP
Test paper detection.It is conventional using data model can be applied to it is daily under the conditions of webpage upload the test paper detection of form.Unconventional application
When data model is mainly used for webpage upload form test paper detection, user experience is promoted, the requirement to user's operation is reduced.
For the test paper of any batch production, it can use mode identical with base-line data acquisition method and be acquired,
And the normal data as the batch.It is worth by the way that corresponding collection apparatus algorithm is obtained as standard using the normal data
Value.
It is compared using the data value that above three data obtain measuring under data model with standard value, ratio can be exported
Relatively result.
In this way, more people may be implemented, jointly to data the present invention provides a kind of system and method for quantity of parameters acquisition
It is acquired, reduces the error of data to the full extent, obtain reliable, extensive, various representative of conditions to the full extent
Under data, to provide advantageous, accurate data basis for final diagnosis.
Although having been combined embodiment to be described in detail the present invention, it should be understood by those skilled in the art that
Ground is that the present invention is not limited only to specific embodiment, on the contrary, becoming in the various amendments without departing from the application spirit and essence
Shape and replacement are all fallen among the protection scope of the application.
Claims (9)
1. a kind of system for rapid data collection in internet detection, it is characterised in that including data management system server
End,
The data management system server end configuration handles a large amount of acquisition data on the remote server, for long-range, with
It and is condition setting parameter needed for acquisition data；
The data management system server end includes acquisition module management and control module, the acquisition module management and control mould
Block includes test paper template management module, data acquisition camera parameter template management module, data acquisition characteristics extraction algorithm management
Module；
The module includes test paper template management module, and test paper formwork module mainly saves and manage positioning unit on test paper, school
The position of positive unit and detection block；And the test paper information that can be uploaded according to user terminal module read positioning unit therein,
The location information for correcting unit and detection block, to judge the concentration of the type of the test paper, required reagent；
The data acquire camera parameter template management module, set needed for the acquisition data of disparity items for saving and managing
Set parameter；
The data acquisition characteristics extraction algorithm management module, for saving and managing after disparity items targetedly acquires data
The feature extraction method of obtained picture or video；
The data management system server end further includes data collection client module, for according to the acquisition control and
The camera setting parameter of template management module setting carries out data acquisition to scene.
2. a kind of system for rapid data collection in internet detection according to claim 1, it is characterised in that: also
Including user terminal module, the data collection client module configuration is in the user terminal module, the user terminal
Module configures on the mobile terminal with camera.
3. a kind of system for rapid data collection in internet detection according to claim 1 or 2, feature exist
In: camera setting parameter include camera acquisition parameter and with the control of camera gesture stability, acquisition rate and quantity, adopt
Collect template contral.
4. a kind of system for rapid data collection in internet detection according to claim 3, it is characterised in that:
The data collection client module further includes characteristic extracting module, for according to the data acquisition characteristics extraction algorithm
Extracting method provided by management module carries out feature extraction to collected data to calculate corresponding value.
5. a kind of system for rapid data collection in internet detection according to claim 4, it is characterised in that: institute
Stating data collection client module further includes time management and control module, for controlling and managing acquisition time, and to data
It is corrected, guarantees the accuracy and stability of data, further include data transmission module, for transmitting the characteristic value data
Data are to data management system server end.
6. a kind of system for rapid data collection in internet detection according to claim 5, it is characterised in that: institute
Stating data management system server end further includes data memory module: for saving data, data include base-line data and experiment
Data.
7. a kind of be used for the system of rapid data collection in internet detection using as claimed in any one of claims 1 to 6
Method, feature are being, comprising the following steps:
Initialization data collection management system server terminal and data acquire client modules first；
By data collection client module described in the information input of the practical test paper to be acquired, the data collection client mould
The information of the test paper is transferred to data management system server end by block, and data management system server end is according to examination
The information that paper matrix board management mould saves determines the type and the required types of agents reacted with it, concentration of the test paper；
User selectes respective type, Concentration Reagent according to the test paper type and reacts, same concentration using multiple test paper into
Row reaction, and using the relevant picture of the data collection client module photograph and obtain related data and be sent to the data
Collection management system server terminal.
8. the method according to the description of claim 7 is characterized in that relevant using the data collection client module photograph
Picture simultaneously obtains related data and is sent to the data management system server end using repeating the steps of realization:
S1, data collection client module is opened, acquires camera parameter template according to the data of data management system server end
The setting data of management module offer, progress base-line data acquisition, the exterior light photograph being arranged when data include fixed acquisition,
Mobile phone camera exposure compensating, white balance state, the characteristic value of test paper glazing correction unit, mobile phone posture, every test paper acquire 5-
10 data, characteristic extracting module extracting method according to provided by the data acquisition characteristics extraction algorithm management module is to adopting
The data collected carry out feature extraction and are stored in the data memory module using calculating corresponding value as base-line data；
S2, the data that camera parameter template management module provides are acquired according to the data, carries out conventional application scenarios data and adopts
Collection；
Characteristic extracting module extracting method according to provided by the data acquisition characteristics extraction algorithm management module is to collecting
Data carry out feature extraction and be stored in the data as conventional application scenarios data to calculate corresponding value storing mould
In block；
S3, the data provided again according to data acquisition camera parameter template management module carry out unconventional scene application number
According to acquisition, fixed various control condition factors, make it be unsatisfactory for conventional scenario application conditions, which adopts when acquisition
Collect the quantity of data, characteristic extracting module extracting method according to provided by the data acquisition characteristics extraction algorithm management module
Feature extraction is carried out to calculate corresponding value as unconventional application data store in the data to collected data
In memory module；
S4, S1-S3 is repeated, and guarantees that data acquire within the stationary phase that test paper reacts and finishes.
9. according to the method described in claim 8, it is characterized in that, the data management system server end stores mould to data
The data stored in block carry out data statistics, and the distributional pattern of all acquisition data sets of rough estimate guarantees the complete of data set
Property and density, and estimate at different conditions detection attainable best precision, if certain condition or certain state
Data exist missing, repeat S1-S4, acquire corresponding data.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110261701A (en) * | 2019-06-27 | 2019-09-20 | 西安西拓电气股份有限公司 | The configuration method of power equipment, apparatus and system |
| CN114727021A (en) * | 2022-04-19 | 2022-07-08 | 柳州康云互联科技有限公司 | Cloud in-vitro diagnostic image data processing method based on video analysis |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105208344A (en) * | 2015-09-28 | 2015-12-30 | 中国水稻研究所 | Distributed mobile agricultural pest information acquisition and diagnosis system and embedded type camera |
| CN105872350A (en) * | 2015-12-08 | 2016-08-17 | 乐视移动智能信息技术（北京）有限公司 | Adjusting method and device for photographing parameter of camera |
| CN106361364A (en) * | 2016-08-31 | 2017-02-01 | 辽宁开普医疗系统有限公司 | Self-service digital X-ray photography system and method |
| CN107862350A (en) * | 2016-09-29 | 2018-03-30 | 网易（杭州）网络有限公司 | Test paper detecting method, apparatus and system |
-
2019
- 2019-01-17 CN CN201910043517.1A patent/CN109871495A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105208344A (en) * | 2015-09-28 | 2015-12-30 | 中国水稻研究所 | Distributed mobile agricultural pest information acquisition and diagnosis system and embedded type camera |
| CN105872350A (en) * | 2015-12-08 | 2016-08-17 | 乐视移动智能信息技术（北京）有限公司 | Adjusting method and device for photographing parameter of camera |
| CN106361364A (en) * | 2016-08-31 | 2017-02-01 | 辽宁开普医疗系统有限公司 | Self-service digital X-ray photography system and method |
| CN107862350A (en) * | 2016-09-29 | 2018-03-30 | 网易（杭州）网络有限公司 | Test paper detecting method, apparatus and system |
Non-Patent Citations (1)
| Title |
|---|
| 刘洪 等: "开发基于移动互联网的普适家庭医疗系统--远程尿液检查数据采集和处理子系统原理和实现", 《广西科技大学学报》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110261701A (en) * | 2019-06-27 | 2019-09-20 | 西安西拓电气股份有限公司 | The configuration method of power equipment, apparatus and system |
| CN110261701B (en) * | 2019-06-27 | 2021-08-13 | 西安西拓电气股份有限公司 | Configuration method, device and system of power equipment |
| CN114727021A (en) * | 2022-04-19 | 2022-07-08 | 柳州康云互联科技有限公司 | Cloud in-vitro diagnostic image data processing method based on video analysis |
| CN114727021B (en) * | 2022-04-19 | 2023-09-15 | 柳州康云互联科技有限公司 | Cloud in-vitro diagnosis image data processing method based on video analysis |
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Application publication date: 20190611 |